A novel method for online sex sorting of silkworm pupae (Bombyx mori) using computer vision combined with deep learning.

Journal: Journal of the science of food and agriculture
Published Date: Feb 12, 2025

Abstract

BACKGROUND: Silkworm pupae (SP), the pupal stage of an edible insect, have strong potential in the food, medicine, and cosmetic industries. Sex sorting is essential to enhance nutritional content and genetic traits in SP crossbreeding but it remains labor intensive and time consuming. An intelligent method is needed urgently to improve efficiency and productivity.

Authors

  • Feng Guo
  • Wei Qin
    School of Life Sciences and Technology, Xidian University, Xi'an, China.
  • Xinglan Fu
    College of Engineering and Technology, Southwest University, Chongqing 400700, China. Electronic address: 1581433861@qq.com.
  • Dan Tao
    School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China. Electronic address: dtao@bjtu.edu.cn.
  • Chunjiang Zhao
    Department of Clinical Laboratory, Peking University People's Hospital, Beijing, China.
  • Guanglin Li
    Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China.

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